Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
16 authors.
Victor A ManuylovGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0002-2296-6151
Vladimir A GushchinGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0002-9397-3762
Vladimir P ChulanovNational Medical Research Center of Phthisiopulmonology and Infectious Diseases, 127473 Moscow, Russia.ORCID 0000-0001-6303-9293
Olga V IsaevaLaboratory of Molecular Epidemiology of Viral Hepatitis, Central Research Institute of Epidemiology, 111123 Moscow, Russia.ORCID 0000-0002-2656-3667
Denis A KleymenovGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0001-9422-7238
Andrei A PochtovyiGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0003-1107-9351
Elena P MazuninaGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0003-0701-5152
Evgeniia N BykoniaGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0002-2269-1469
Irina N TragiraGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0001-6370-779X
Yana V SimakovaGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0002-5033-6931
Sergey V NetesovLaboratory of Bionanotechnology, Microbiology and Virology, Department of Natural Sciences, Novosibirsk State University, 630090 Novosibirsk, Russia.ORCID 0000-0002-7786-2464
Artem P TkachukGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0003-3262-4873
Tatyana A SemenenkoGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0002-6686-9011
Alexander L GintsburgGamaleya National Research Center for Epidemiology and Microbiology, 123098 Moscow, Russia.ORCID 0000-0003-1769-5059
Karen K KyuregyanLaboratory of Molecular Epidemiology of Viral Hepatitis, Central Research Institute of Epidemiology, 111123 Moscow, Russia.ORCID 0000-0002-3599-117X
Mikhail I MikhailovLaboratory of Molecular Epidemiology of Viral Hepatitis, Central Research Institute of Epidemiology, 111123 Moscow, Russia.ORCID 0000-0002-6636-6801
Funding
Ministry of Health of the Russian Federation Contract "Monitor-Bio"Ministry of Science and Higher Education of the Russian Federation 075-15-2025-519Ministry of Science and Higher Education of the Russian Federation FSUS-2025-0012
6 · The paper itself
Abstract
Identifying population groups at greatest risk of hepatitis C virus (HCV) infection is essential for targeting screening and treatment. We analyzed the seroprevalence of antibodies to HCV (anti-HCV) and HCV RNA in serum samples from 37,291 conditionally healthy volunteers collected between 2018 and 2022, and from 4764 individuals sampled in 2008, totaling 42,055 participants. In 2018-2022, anti-HCV prevalence varied by region, ranging from 1.1 to 1.4% in Belgorod, Moscow, and St. Petersburg to 1.8-2.1% in Dagestan, Tatarstan, Novosibirsk, Tyva, and southern Yakutia, and reaching 3.4-5.2% in Khabarovsk and the Arctic zone of Yakutia. In 2008, prevalence in Moscow, Rostov, Sverdlovsk, Tyva, and Yakutia ranged from 1.7% to 3.3%. A significant decline over time was observed: from a mean of 2.6 ± 0.5% in 2008 to 1.9 ± 0.1% in 2018-2022 (
Indexed as
HepacivirusHepatitis CAdolescentAdultAgedAged, 80 and overAge FactorsChildFemaleHepatitis C AntibodiesHumansMaleMiddle AgedPrevalenceRNA, ViralRussiaHepatitis C AntibodiesRNA, Viralanti-HCVconditionally healthy populationHCV prevalenceHCV RNAhepatitis C virusRussian Federation
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Regional, Age, and Sex Patterns of Hepatitis C Virus Infection in Russia: Insights from a 42,000-Participant Serosurvey. · full record | OpenQuestion